{"id":"W1980432853","doi":"10.1504/ijmic.2008.023514","title":"Identification of the GMS friction model based on a robust adaptive observer","year":2008,"lang":"en","type":"article","venue":"International Journal of Modelling Identification and Control","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Bounded function; Control theory (sociology); Observer (physics); Slip (aerodynamics); Mathematics; Identification (biology); Uniform boundedness; Approximation error; Applied mathematics; Computer science; Mathematical analysis; Physics; Artificial intelligence; Control (management)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004349573,0.0005019,0.001010123,0.0003858953,0.0002097913,0.000565259,0.0008404548,0.000750057,0.0009153686],"category_scores_gemma":[0.001174865,0.000308463,0.000672615,0.0002821486,0.0004941761,0.0006698,0.0006498738,0.0007691437,0.0004144224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003707665,"about_ca_system_score_gemma":0.0005796653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003568578,"about_ca_topic_score_gemma":0.002025563,"domain_scores_codex":[0.9997142,0.00003783797,0.00002133599,0.00005772337,0.0001389421,0.00002996897],"domain_scores_gemma":[0.999694,0.00005850491,0.00009491612,0.00005736807,0.00008167336,0.0000136483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001854111,0.00003623462,0.001251564,0.00025353,0.00009789265,0.000277826,0.000156599,0.8248202,0.05199323,0.01708932,0.0008971315,0.102941],"study_design_scores_gemma":[0.000007340269,0.00003539295,0.0002362229,0.000006925333,0.000007503976,0.00004941184,0.000005048965,0.9950237,0.002879804,0.0006319635,0.001110274,0.000006397749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01087163,0.0001314812,0.9870589,0.00004472044,0.00003733968,0.00002746447,0.00001650158,0.0004368827,0.001375097],"genre_scores_gemma":[0.875258,0.0004035038,0.1203313,0.00004201752,0.00004900835,0.0001123539,0.0001111707,0.00005307026,0.003639504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003568578,"threshold_uncertainty_score":0.007095635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144000893768927,"score_gpt":0.2135772705057822,"score_spread":0.1821372615680929,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}